Popular GitHub Repositories for Octave

Implements face recognition algorithms for MATLAB/GNU Octave and Python.

GPstuff - Gaussian process models for Bayesian analysis

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

Reimagine simulations: OctCoder, a Text-2-Simulation agentic system

Applying Octave UNet for Retinal Vessel Segmentation.

Machine learning Fraud Detection with SPARK and OCTAVE

?This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

Machine Learning Projects for the Dr. Andrew Ng's course on Coursera

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

Machine learning coursera by Andrew Ng

A node application of an intelligent payment gateway built by applying the unsupervised Machine Learning Algorithm, Anomaly Detection

Programming assignments (with Octave and Python) from Coursera's Machine Learning course taught by Andrew Ng.

ALPUD: Active Learning from Positive and Unlabeled Data

Solutions of the exercises of Andrew Ng's Machine Learning course available on Coursera (in Octave and Python).

Automatic speech recognition in MATLAB/Octave (using whisper.cpp and OpenAI's Whisper)

trade PETR4 stocks using hill climbing

Solutions to Coursera Machine Learning course programming assignments

Naive Bayes Classifier in MatLab/Octave.